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Introduction Writing Linux kernel code is very different from writing user-space applications. The kernel runs with direct access to hardware, supports multiple CPUs, handles interrupts, and manages s
Understanding Spinlocks, Data Races, Global Variables, and ISA Detection in Linux Kernel Modules When developing Linux kernel modules, understanding synchronization and system architecture is essentia
Understanding Critical Sections, Exclusive Execution, and Atomicity in Linux Kernel Programming Modern Linux kernels execute on multicore systems where multiple CPUs, kernel threads, interrupts, and w
This Program manages object lifecycles across distinct parallel execution layers. It bridges lockless reader threads with a serialized writer thread and an asynchronous memory reclamation subsystem.
Building a Mini Linux Kernel Object Registry Using SLAB, RCU, Hash Tables, Shrinkers, and Procfs Modern Linux kernels manage massive numbers of dynamically created objects. Examples include: Inodes D
Building a Simple Linux Kernel Object Cache Using SLAB Allocator Linux kernel development is very different from user-space programming. In user space, developers typically use: malloc(); free(); Ins
Introduction Most Linux kernel tutorials focus on writing kernel modules directly in C. Most compiler tutorials focus on parsers, ASTs, and code generation. What happens when we combine both? This pro
Building a Linux Kernel Memory Allocation Engine with a Control Plane / Data Plane Architecture Introduction Most Linux kernel module tutorials demonstrate a simple memory allocation example using kma
Scatter/Gather I/O in Linux: A Deep Dive into readv() and writev() Efficient data transfer is a cornerstone of high-performance systems programming. Linux provides powerful mechanisms to optimize inpu
